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Detection of Speed of Moving Objects from Digital Aerial Camera and QuickBird Sensors

机译:通过数码航空相机和QuickBird传感器检测运动物体的速度

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摘要

[ABSTRACT] This paper highlights the method to detect moving objects and measure their speeds from high-resolution satellite images and airborne images. First using the images from Google Earth, “ghosts”of moving objects seen in pansharpened QuickBird images are demonstrated. The slight time lag (0.2 seconds) between panchromatic and multispectral sensors of QuickBird is responsible for the ghosts and they can be used to measure the speeds of moving objects using only one scene of QuickBirdu27s“bundle product”. However, due to limitation of the short time lag and the resolution (2.4 m for multispectral bands), high accuracy is expected only for high-speed large objects, e.g. airplanes. A method to detect the speed of vehicles is also proposed using a pair of aerial images. An object-oriented approach is employed to detect cars on an expressway automatically and the accuracy is examined comparing with visual extraction results.
机译:[摘要]本文重点介绍了从高分辨率卫星图像和机载图像检测运动物体并测量其速度的方法。首先使用来自Google Earth的图像,演示了在锐化的QuickBird图像中看到的运动对象的“鬼影”。 QuickBird的全色传感器和多光谱传感器之间的时间间隔很小(0.2秒),是造成鬼影的原因,它们可用于仅使用QuickBird u27s“捆绑产品”的一个场景来测量移动物体的速度。但是,由于短时滞和分辨率的限制(对于多光谱波段为2.4 m),仅对于高速大物体(例如,大范围物体),才有望获得高精度。飞机。还提出了使用一对航空图像来检测车辆速度的方法。采用面向对象的方法自动检测高速公路上的汽车,并与视觉提取结果进行比较来检查准确性。

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